Triple
T6492651
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Makoto Kobayashi |
E148078
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Kobayashi |
E148078
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Kobayashi | Statement: [Makoto Kobayashi, familyName, Kobayashi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kobayashi Context triple: [Makoto Kobayashi, familyName, Kobayashi]
-
A.
Makoto Kobayashi
chosen
Makoto Kobayashi is a Japanese theoretical physicist renowned for his work on CP violation in the Standard Model, for which he shared the 2008 Nobel Prize in Physics.
-
B.
Sanjo Ohashi
Sanjo Ohashi is a historic bridge in Kyoto, Japan, long regarded as a key terminus of the Tōkaidō road and an important crossing point in the city.
-
C.
Ken Nakajima
Ken Nakajima was a renowned Japanese landscape architect celebrated for designing traditional-style Japanese gardens around the world.
-
D.
Akio
Akio is a Japanese given name commonly used for males and borne by various notable figures in business, arts, and entertainment.
-
E.
Daisuke Kato
Daisuke Kato is a former Japanese professional baseball player best known for his time with the Orix Buffaloes in Nippon Professional Baseball.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69c009088f3081909cd467b05919de30 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c06a9bf9208190b0957eda06ed3d65 |
completed | March 22, 2026, 10:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c653bf5c30819083e4e5484b2bd8cc |
completed | March 27, 2026, 9:54 a.m. |
Created at: March 22, 2026, 4:53 p.m.